🥷 Engineering habits you already know, turned into skills Claude can run.
Waza is a collection of eight structured subagent skills for Claude Code and other AI coding agents, each encoding a specific engineering workflow as a slash command or named invocation. The eight skills cover distinct phases of engineering work: `/think` pressure-tests a problem before any code is written, `/design` drives frontend UI iteration including screenshot-based aesthetic refinement, `/check` reviews diffs and handles release follow-through with evidence, `/hunt` requires root cause confirmation before applying any bug fix, `/write` rewrites prose in natural Chinese and English, `/learn` runs a six-phase research workflow from collection through self-review, `/read` routes URLs and PDFs through platform-specific logic to produce summaries or Markdown output, and `/health` audits agent configuration and AI maintainability with a budget-aware summary pass. Installation works via `npx skills add tw93/Waza` for Claude Code, Codex, OpenCode, and other agents, or through the Claude Code plugin marketplace on v2.1.143 and newer. Engineers who want consistent, opinionated workflows rather than ad-hoc prompting across multiple projects are the primary audience.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/tw93/Waza && cp Waza/*.md ~/.claude/agents/8 items en este repositorio
Reviews code diffs, PRs, issue queues, release readiness, commits, pushes, publishing, and project audits. Use when users ask in any language for code review, issue or PR triage, release gates, publishing follow-through, or project audits. Not for debugging root causes or prose review.
Produces distinctive, production-grade UI for pages, components, visual interfaces, typography, and screenshot-driven polish. Use when users ask in any language for UI, page, component, frontend, typography, screenshot-grounded visual polish, or complaints that a screen looks unclear, ugly, inconsistent, or visually wrong. Not for backend logic or data pipelines.
Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.
Finds root cause before applying fixes for errors, crashes, regressions, failing tests, broken behavior, and screenshot-reported defects. Use when users report in any language errors, crashes, broken behavior, regressions, failing tests, screenshot evidence, or something that used to work and now fails. Not for code review or new features.
Runs a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask in any language to research, study, deep-dive, compile sources, synthesize unfamiliar material, or turn a source bundle into a coherent reference. Not for quick lookups or single-file reads.
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local text files already in the repo.
Turns rough ideas into approved, decision-complete plans with validated structure before coding. Use when users ask in any language for planning, architecture, design direction, feasibility, value judgment, or whether a feature is worth doing before implementation. Not for bug fixes or small edits.
Rewrites and polishes prose in Chinese or English, removes AI-like wording, and reviews product localization copy while preserving intent for drafts, docs, release notes, launch copy, and social posts. Use when users ask in any language to draft, rewrite, proofread, localize, polish release notes, remove AI-like wording, or prepare launch and social copy. Not for code comments, commit messages, or inline docs.
Resumen de Subagents
<div align="center"> <img src="https://gw.alipayobjects.com/zos/k/2h/waza.svg" width="120" /> <h1>Waza</h1> <p><b>Engineering habits you already know, turned into skills AI agents can run.</b></p> <a href="https://github.com/tw93/Waza/actions/workflows/test.yml"><img src="https://img.shields.io/github/actions/workflow/status/tw93/Waza/test.yml?branch=main&style=flat-square&label=tests" alt="Tests"></a> <a href="https://github.com/tw93/Waza/stargazers"><img src="https://img.shields.io/github/stars/tw93/Waza?style=flat-square" alt="Stars"></a> <a href="https://github.com/tw93/Waza/releases"><img src="https://img.shields.io/github/v/tag/tw93/Waza?label=version&style=flat-square" alt="Version"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square" alt="License"></a> <a href="https://twitter.com/HiTw93"><img src="https://img.shields.io/badge/follow-Tw93-red?style=flat-square&logo=Twitter" alt="Twitter"></a> </div> <br/> <div align="center"> <img src="assets/waza_skills.svg" width="1000" /> </div> ## Skills Each engineering habit gets an installed skill. In Claude Code, type the slash command. In Codex, invoke the installed skill by name and follow the same playbook. | Skill | When | What it does | | :--- | :--- | :--- | | [`/think`](skills/think/SKILL.md) | Before building anything new | Challenges the problem, pressure-tests the design, and produces a decision-complete plan another agent can implement. | | [`/ui`](skills/ui/SKILL.md) | Building frontend interfaces | Produces distinctive UI, including screenshot-driven aesthetic iteration, with a committed direction rather than generic defaults. | | [`/check`](skills/check/SKILL.md) | After a task, before merging or release | Reviews the diff, extracts project-specific constraints, handles approved release/publish/push/reaction follow-through, and verifies with evidence. | | [`/hunt`](skills/hunt/SKILL.md) | Any bug, regression, or unexpected behavior | Systematic debugging. Root cause confirmed before any fix is applied, especially when something used to work. | | [`/write`](skills/write/SKILL.md) | Writing or editing prose | Rewrites prose to sound natural in Chinese and English. Cuts stiff, formulaic phrasing. | | [`/learn`](skills/learn/SKILL.md) | Diving into an unfamiliar domain | Six-phase research workflow: collect, digest, outline, fill in, refine, then self-review and publish. | | [`/read`](skills/read/SKILL.md) | Any URL or PDF | Reads URLs and PDFs with platform-specific routing. Plain reads return a concise summary; Markdown output is used when asked to convert, quote, cite, save, or feed downstream work. | | [`/health`](skills/health/SKILL.md) | Auditing Agent Health | Checks Codex, Claude Code, project instructions, verifier output, and AI maintainability with a budget-aware summary pass before deep inspection. | Each skill is a folder with reference docs, helper scripts, and gotchas from real failures. ## Install One command installs all eight skills, with no prompts and no errors. Copy and run: ```bash npx skills add tw93/Waza -a claude-code codex cursor antigravity-cli -g -y ``` One canonical copy lands in the shared `~/.agents/skills` store (the agents.md standard directory) with Claude Code symlinked in, so Codex, Cursor, Kimi Code CLI, Amp, Cline, Antigravity CLI, and every other agent reading that directory picks Waza up automatically. Models routed through these harnesses (GLM or Kimi K2 behind Claude Code-compatible endpoints) need nothing extra; tools with a private skills directory append their agent id (e.g. `-a qwen-code iflow-cli antigravity-cli`). Update later with `npx skills update -g -y`. **Native plugin** (for host-native update commands) ```bash # Claude Code: install, then `claude plugin update waza` /plugin marketplace add tw93/Waza /plugin install waza@waza # Codex: install, then `codex plugin marketplace upgrade waza` codex plugin marketplace add tw93/Waza codex plugin add waza@waza ``` **Claude Desktop**: download [waza.zip](https://github.com/tw93/Waza/releases/latest/download/waza.zip), then Customize > Skills > "+" > Create skill, and upload the ZIP. Re-upload the latest ZIP to update. **Pi**: `pi install npm:@tw93/waza` (update with `pi update npm:@tw93/waza`). `/health` audits Pi settings alongside Claude Code and Codex. ## Chaining Skills Skills chain together, but every transition is a manual step you trigger. Each skill finishes its task and stops, waiting for you to decide what comes next. **Common workflows:** - **Plan a feature**: `/think` → approve → say "implement X" → `/check` → merge - **Ship a fix**: `/hunt` → fix → `/check` → release/publish/push/issue follow-through - **Research and write**: `/read` (fetch sources) → `/learn` (synthesize) → `/write` (polish) - **Debug and verify**: `/hunt` (find root cause) → fix → `/check` (review changes) ## Project Context Waza ships only generic engineering habits. `/check` becomes project-aware at runtime by reading the target repository's public context (READMEs, package manifests, Makefiles, CI workflows) and your task constraints, never private paths, credentials, or tokens. See [`skills/check/references/project-context.md`](skills/check/references/project-context.md) for the review context template. ## Extras ### Statusline A minimal statusline for Claude Code: context window, 5-hour quota, and 7-day quota. Color-coded by usage, no progress bars, no noise. <div align="center"> <img src="https://gw.alipayobjects.com/zos/k/y9/RUgevg.png" width="1000" /> </div> ```bash curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-statusline.sh | bash ``` **Codex** has native statusline items. Add to `~/.codex/config.toml`: ```toml [tui] status_line = ["model-with-reasoning", "current-dir", "context-used", "five-hour-limit", "weekly-limit"] status_line_use_colors = true ``` Codex shows remaining quota; the Claude Code statusline above shows used percentage (upstream does not yet expose `five-hour-used` / `weekly-used`). ### Optional Rules Three independent toggles. Copy the ones you want (swap `claude-code` for `codex` or `antigravity-cli` on those agents): ```bash # English coaching: appends a short 😇 correction when your prompt has an English mistake curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh | bash -s -- english claude-code # Anti-patterns: always-on cross-skill guardrails (read before acting, no scope creep, no unsolicited summaries) curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh | bash -s -- anti-patterns claude-code # Routing hint: tells non-Claude hosts to prefer Waza skills when a request matches their triggers curl -sL https://github.com/tw93/Waza/releases/latest/download/setup-rule.sh | bash -s -- waza-routing claude-code ``` <div align="center"> <img src="https://gw.alipayobjects.com/zos/k/24/vfkGOi.png" width="1000" /> </div> Curl URLs use the latest GitHub release asset. Set `WAZA_REF=main` before the command if you want bleeding-edge scripts. ## Why Waza (技, わざ) is a Japanese martial arts term for technique: a move practiced until it becomes instinct. A good engineer does more than write code. They pressure-test requirements, debug to root cause, review their own diffs, and read primary sources. AI has the raw output for all of it, but without structure that output drifts into generic, imprecise work. Each Waza skill states the outcome, the red lines, and how the result gets verified, then steps back and lets the model choose the path. As models improve, that restraint pays compound interest. Tools like Superpowers and gstack are powerful but heavy: too many skills, too much configuration. Waza stays small, eight skills for the habits that actually matter, each with one job and a clear trigger. Built from real projects and refined through 300+ sessions across 7 projects, every gotcha traces to a real failure. The `/health` skill grew from the six-layer Claude Code framework in [this post](https://tw93.fun/en/2026-03-12/claude.html). Part of a trilogy: [Kaku](https://github.com/tw93/Kaku) (書く) writes code, [Waza](https://github.com/tw93/Waza) (技) drills habits, [Kami](https://github.com/tw93/Kami) (紙) ships documents. Think of them as a family: Kaku is the dad, Waza the big sister, Kami the little sister. ## Uninstall ```bash npx skills remove tw93/Waza -g rm -f ~/.claude/statusline.sh rm -f ~/.claude/rules/english.md rm -f ~/.claude/rules/anti-patterns.md rm -f ~/.claude/rules/waza-routing.md ``` For Claude Desktop, delete Waza from Customize > Skills. For Codex rule installs, remove the marked Waza blocks from `~/.codex/AGENTS.md`. ## Support - The most direct way to support me is getting [Mole for Mac](https://mole.fit), my paid Mac cleanup app. - If Waza helped you, give it a star, [share it](https://twitter.com/intent/tweet?url=https://github.com/tw93/Waza&text=Waza%20-%20AI%20coding%20skills%20for%20the%20complete%20engineer.), or open an issue or PR. - I have two cats, TangYuan and Coke. If you think Waza delights your life, you can feed them <a href="https://cats.tw93.fun?name=Waza" target="_blank">canned food 🥩</a>. <details> <summary>These lovely people already did 🐱</summary> <br/> <div align="center"> <a href="https://cats.tw93.fun?name=Waza"><img src="https://cdn.jsdelivr.net/gh/tw93/sponsors@main/assets/sponsors.svg" width="1000" loading="lazy" /></a> </div> </details> ## License MIT License. Feel free to use Waza and contribute.
Lo que la gente pregunta sobre Waza
¿Qué es tw93/Waza?
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tw93/Waza es subagents para el ecosistema de Claude AI. 🥷 Engineering habits you already know, turned into skills Claude can run. Tiene 6.6k estrellas en GitHub y se actualizó por última vez 2d ago.
¿Cómo se instala Waza?
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Puedes instalar Waza clonando el repositorio (https://github.com/tw93/Waza) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar tw93/Waza?
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Nuestro agente de seguridad ha analizado tw93/Waza y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene tw93/Waza?
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tw93/Waza es mantenido por tw93. La última actividad registrada en GitHub es de 2d ago, con 0 issues abiertos.
¿Hay alternativas a Waza?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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